Identification of third stage larval types of cyathostomins of equids: An improved perspective
2018
Santos, Daisy Woellner | Madeira de Carvalho, Luis Manuel | Molento, Marcelo Beltrão
Cyathostomins comprise around 50 parasite species of equids, offering a great challenge regarding their individual identification. The objective of our work was to improve identification of infective third stage larvae (L3) with a morphological key supplemented with detailed scientific illustrations based on our research and available literature. The highlighted features were; the number, arrangement, and shape of intestinal cells (IC), general features and the total body length of the eight different Cyathostomin sensu latum types (Type A, B, C, D, E, F, G, H), Gyalocephalus capitatus, and Posteriostomum spp. Due to variability, we were unable to define final body length measurements to differentiate L3 of cyathostomins. However, IC characteristics displayed a higher difference between L3 types than total body length. Through the number and arrangement of IC, 14 species were classified within three larval types. The classification of L3 into distinct larval types sensu latum gives us the advantage of reducing the number of probable species presented in equine faecal samples using a low-cost technique when monitoring the parasite fauna present in individual horses or on the farm level. The present improved identification key shall increase the diagnostic capabilities of classical equine parasitology techniques, using general L3 morphology thereby pragmatically improving regional and transnational epidemiological and biodiversity studies. The present key may also assist in defining the cyathostomin community in cyathostominosis clinical cases and within drug resistant populations across different management systems and geographical locations.
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par National Agricultural Library
Découvrez la collection de ce fournisseur de données dans AGRIS